Fast and Robust Cyclist Detection for Monocular Camera Systems
نویسندگان
چکیده
Cyclist detection is an important task for automobile industries. In this paper we present a vision based system for cyclist detection. We build cascade detectors for cyclists in different viewpoints and part filters to deal with partial occlusions. To improve the performance, geometry based ROI extraction method is integrated. Additionally, a Kalman filter in combination with optical flow is also applied to estimate cyclists’ trajectories and to stabilize detections along image sequence.
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تاریخ انتشار 2015